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A major manufacturing company was facing a significant challenge with a 30% attrition rate in their field force. This high turnover was impacting productivity, increasing hiring and training costs, and potentially affecting customer relationships. The company needed a proactive plan to reduce attrition and retain valuable sales employees. Analytics and data were crucial in addressing this issue.
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13/08/2024, 14:56 #1 Reducing Field Force Attrition with GrapheneAI's analytics and data (/) Reducing Field Force Attrition with GrapheneAI GrapheneAI June 25, 2024 A major manufacturing company was facing a significant challenge with a 30% attrition ratein theirfieldforce.This high turnoverwas impactingproductivity, increasing hiringandtrainingcosts,andpotentially affectingcustomerrelationships. The company needed a proactive plan to reduce attrition and retain valuable sales employees. Analytics and data were crucial in addressing this issue. https://grapheneai.com/field-force-attrition-with-analytics-and-data/ 1/6
13/08/2024, 14:56 The company partnered with GrapheneAI to leverage advanced analytics and machine learning to address this critical issue. Analytics and data were at the core of their approach. GrapheneAI’s approach included: #1 Reducing Field Force Attrition with GrapheneAI's analytics and data 1.Comprehensive Data Analysis: Analyzed and transformed all attributes of sales employees to identify patterns andriskfactors.Analytics anddatawerekey to this process. 2.Predictive Modeling: Built predictive models through iterative training and testing processes to forecast attrition risk. Analytics and data drove these models. 3.Collaborative Refinement: Engaged in an iterative process with the client to fine- tunethemodels andinsights.Analytics anddatainformedthis collaboration. 4.Targeted Employee Identification: Highlighted over 450 employees in a specific cohortat high risk ofleaving.Analytics anddataenabledthis preciseidentification. It also included an Attrition Timeline and key Factors Contributing to Attrition, Attrition by Employee Band,andtopreasons forattrition includingfactors likebenefits, departmentchanges,andmanagerchanges.Analytics anddatawereinstrumental in uncovering these insights. Results: Armed with these data and insights, the client was able to: 1.Design TargetedRetention Strategies:Analytics anddatainformedthese strategies. 2.Improve Onboarding and Early Career Support: Analytics and data helped optimizetheseprocesses. 3.Address Key Pain Points: Analytics and data highlighted these issues. 4.Developed programs to improve manager-employee relationships and reduce manager-relatedattrition.Analytics anddataguidedtheseinitiatives. 5.Career Path Optimization:Analytics anddata helped shapecareerdevelopment plans. Conclusion: By leveraging GrapheneAI’s advanced analytics and predictive modeling,themanufacturingcompany was ableto movefromreactiveto proactive attrition management.This data-driven approach enabledthemto identify at-risk employees early andimplementtargetedretention strategies,potentially saving millions in hiring and training costs while improving overall workforce stability and productivity.Analytics anddatawerecentralto this transformation. GrapheneAI’s solution demonstrated the power of turning data into actionable insights, enabling the client to make informed decisions and take concrete steps to address their attrition challenge. Analytics and data were the foundation of these https://grapheneai.com/field-force-attrition-with-analytics-and-data/ 2/6
13/08/2024, 14:56 #1 Reducing Field Force Attrition with GrapheneAI's analytics and data insights. This case study isn’t just about numbers; it’s a tale of transformation. GrapheneAI didn’t just provide data – t(h/e) y unlocked a new way of seeing and managing talent. The full extent of the impact remains to be seen, but one thing is clear: in the war for talent, this company now has a secret weapon – the power of predictive analytics and a deep understanding of what makes their employees tick. Analytics and data have become indispensable tools in their talent management strategy. https://grapheneai.com/field-force-attrition-with-analytics-and-data/ 3/6
13/08/2024, 14:56 #1 Reducing Field Force Attrition with GrapheneAI's analytics and data https://grapheneai.com/field-force-attrition-with-analytics-and-data/ 4/6
